Top App Analytics Tools (2019)

Artyom Dogtiev

Updated: October 4, 2019

In this guide we want to cover both app advertising analytics and app analytics companies. These two fuel mobile industry with information on mobile advertising efficiency and how mobile users interact with mobile apps. They are the key to understand how well a mobile ad campaign performs  or mobile app works and what you can do to improve it, attract new users or customers and keep them loyal to the app.

From Google to Apple tracking apps and their performance is key to develop your app business. On both iOS and Android, there are thousands of data points available to examine to determine what to change, where maintenance is required and what actually works. When it comes to generating revenue via ad campaigns inside apps, measuring of a whole new set of data points becomes crucial and this is when you need app advertising analytics.

So which are the app analytics of app advertising companies you should know about? Which ones are free to try and how much does it cost to use? What’s the difference between impressions and sessions? This guide will go through what exactly app analytics is and how to choose the tools to analyze the data.

We’ve put together a review of all the various types of mobile app analytics and app advertising services including the types of metrics and data that they can track as well as company profiles and reviews. You can use this research to compare mobile app analytics providers and understand the market landscape and the key features and benefits of each of the various solutions.

Table of Contents:

So App Analytics tools can be divided into several macro categories,  such as App marketing analytics, In-app analytics and App Performance analytics. Here is a brief description of each.

App marketing analytics (App store analytics)

It covers things like whether users find your app while browsing Apple’s app store or on other websites, the comparison between downloads and in-app purchases and much more besides. This is key to understanding how to monetize the application, increasing ROI and not losing customers.

With this type of analytics you can monitor and analyze KPIs of your mobile app marketing campaigns. It also allows you to keep tabs on your app competitors performance – app installs, rankings and revenue across multiple app stores. App Store analytics reports on how changes of app target keywords, description and other parts of an app marketing campaign influence an app store performance.

In-app analytics

These are everything a user does within the application. How do they behave within your app? Do they always go back to the homepage, or follow deep links? A key metric here is demographics: data you analyze on your users will inform the post-publishing development of your app and give useful insights; for example, the most frequent users of your apps need not coincide with the most valuable – so how do you turn one into the other?

App performance analytics

Strictly speaking these are in-app, but less concerned with the users and more so with the “machine” itself. Identifying pages that make an app crash, or devices on which the app slows to crawl, is the groundwork upon which all the analysis above rests. If your mobile application crashes whenever it’s opened on an iPhone Xs Max (but on no other model), all the marketing in the world is moot.

App advertising analytics

This type of analytics presents bread and butter of advertising. It helps you analyze and attribute digital marketing campaigns to impressions, ad clicks, subsequently to app installs, in-app behaviors, and a mobile in-store or offline sales boost. Among other metrics to measure are return on advertising spend and effectiveness of ad impressions.

As much as mobile analytics essential for planning, launching and analyzing results of a mobile advertising campaign, analysis of a mobile app performance is no less important for an app business growth and prosperity.

Information that each mobile app analytics tool provides can be described with a number of terms, let’s define some of them.

Key Performance Indicator (KPI)

KPI is a measurable value that reports on a mobile advertising campaign effectiveness or a mobile app performance.

User Churn Rate

It provides a ratio between the number of a mobile app users that continue to use an app after a certain period of time, usually a month, and the ones who have stopped. According to Localytics data, aggregated across multiple app categories, an average churn rate in 2016 was 36% for one month and only 20% for three.

Session Length

A time spent by a mobile app user with an app, before closing it or switching to another app. According to Opera Mediaworks, in 2016 an average app session length was 5 mins.

Daily Active User (DAU)

It measures the number of mobile users who open an app on a daily basis. This metric various significantly between mobile games and various categories of apps.

Monthly Active User (MAU)

It measures the number of mobile users who open an app on a monthly basis.

Average Revenue Per User (ARPU)

This metric reports on how much revenue was an app generated per its user. Now, once we’ve defined basic terminology for mobile advertising and app analytics, let’s see what are your options to choose an effective and reputable analytics company to work with. With so many tools to choose from though, which should app marketer, mobile affiliate or media buyer opt for? We want to help all parties involved in mobile advertising and app marketing industries to navigate through this tricky and often confusing area, we’ve compiled a list of what we consider to be the best app analytics tools out there at the time of writing.

Now, when the most common used terms are defined, let’s dig into different kinds of analytics, starting with App marketing analytics.

What are App marketing analytics?

App marketing analytics supply app brands and developers with analytical data on mobile app marketing performance. Such tools report on how many times a mobile app was installed, opened, specific action within an app was taken.

The most brilliant app ever made would struggle to become famous these days. Globally, app downloads are decreasing and in 2015, there were around 1000 apps uploaded to the Apple App Store every day. How do you stand out from the crowd? The answer is advertising and marketing.

According to CMOS in their February 2016 survey:

Spending on marketing analytics … is expected to leap from 4.6 percent to almost 22 percent of marketing budgets in the next three years.

Source: CMO Survey

Specifically, the proportion of total marketing budget dedicated to mobile analytics is expected to rise to 8.3% in the next three years.

Ad campaigns can include all sorts of aspects, from adverts to offers and cross-promotion, but to understand what works and what doesn’t, you also need marketing analytics. There are so many ad networks out there, and so many ad formats, that tracking which ones work and understanding why they do is crucial to getting a good return on investment. There are far more data points and metrics than the ones below, but we’ve listed a few major ones.

Marketing Analytics KPIs

  • Installs – not just how many times your app is installed, but the path that leads people to installing an app is just as important.
  • Opens – when is your app opened? Is it following a particular deep link, or do users of another app have a high percentage of switching over to yours? At a particular time of day?
  • Purchases – When people purchase something within your app (or when do they purchase the app itself).
  • Registration – If the app requires a registration, its important to know why people decide to register and more importantly why the people that drop out do so.
  • Content Viewed – Self explanatory, as it tells you what you should do more of.
  • Shares – On which platform and for what reason is a link to your app, or its content, shared?
  • Invites – Not only how many invites, but also who invites and who gets invited is key to reaching those demographics.
  • Custom Events – These are metrics set by you, for example to find out when people have followed the “Customers who bought this also liked” button

The real difficulty here however is understanding what to do with all that data. Again according to the CMOS survey, the main reason preventing the use of more marketing analytics is a lack of process and knowledge of what to do with them.

A lot of the platforms we recommend below, however, offer ways of making sense of the data instead of just offering it to you.

Once you have a grip on all of these, you can tailor your marketing campaign accordingly. You could find out, for example, that the majority of people who access your app do so around bedtime, and thus push for more adverts being displayed at those particular hours.

What are In-app analytics?

What users do within your app is the tip of the iceberg for In-app analytics. The category can be broadly divided into three sections: device, user demographics and user behavior. In the first, things to look at can include what kind of device they are using and whether the model or OS version has any effect on their behaviour (for example, on a particular device the “buy” button on a page could be hidden behind another one). Within user demographics you have language, gender, location and also whether they’re new users or returning.

Finally, user behaviour is the biggest one to consider – how users behave within an application and how that leads (or doesn’t) to income and conversions. There are almost infinite things to track here such as where people click on an app, how long they spend on a page, which pages lead to higher conversions and why (it could be content, it could be product, it could be design).

In-App analytics KPIs

  • Type of device.
  • In-app behaviour: clicks, levels completed, purchases made.
  • Location, gender, age and language of users.
  • Whether user is new or returning.
  • Operating system.
  • Manufacturer.
  • Time of use.

These all inform how you can change an app for maximum ROI. In the case of games, are there specific levels or bosses that are making people exit the app? How often are they using certain feature, or if given a choice, how often are they picking one over the other? All this information is invaluable when understanding how your users interact with your application. A subset of this is A/B Analytics.

That’s where app analytics tools come in: they can provide app developers with an up-to-date information on a broad spectrum of different variables and bugs are one of the most important ones. For example, there can be a certain feature in your app that is road-block for your app users and this is what makes them to abandon your app, with a proper app analytics installed into your app, you can figure it out and solve the problem.

You can also learn about other essential variables via using app analytics tools such as: the revenue your app is generating, number installs your app is getting, in-app purchases, competitor rankings, and even how many times the app has crashed. Knowing as much as you can about your app means you can improve an overall user experience. A better user experience means people will talk about your app more favourably to others, they will use your app for a longer period of time, and you will have a higher chance of generating more recurrent revenue, particularly if in-app purchases are your primary income source.

A/B Analytics.

Presenting users one of two different options (whether they present differences in design or experience) and seeing which one works best. The issue is that while you can do this in-house, you will often need ways of doing it “live”, testing it on current users, without breaking the app or turning them away. A/B testing is key, but it is one part of a wider toolset, and thus the companies that supply it often do so alongside other tools as well.

Up next, the foundation of it all: app performance analytics.

What are App performance analytics?

This is the bedrock of optimising an app – without this set of statistics, it’s basically impossible to retain users because you won’t be looking at the most important metric of all: whether an app works or not. From uptime (how long an app is kept open) to crashes, responsiveness and resource usage, you need to know when your app works, slows down or fails; and you need to know it for every single device and operating system your users access your app from. Does your app perform better on a particular brand on phones than in others? You’ll want to know why. Further, your app may depend on third-party services in the cloud, and you’ll want to know exactly how these affect your app both when they are available and unavailable. These are just some of app performance KPIs.

App Performance KPIs

  • Carrier latency.
  • API latency.
  • Uptime.
  • Crashes.
  • Exceptions.
  • Errors.
  • Data Transactions.

These are well and truly crucial to know if an app doesn’t work, and how. You may find that opening a specific page on iOS crashes your app – if this is your sales page, you’re in trouble.

Now, on top of analytics that are related to an app technical performance and its interaction with users, is analytics that cover mobile app performance on a market. We’re talking about app advertising analytics.

What are App advertising analytics

Now, mobile analytics is the heart of any successful mobile advertising company operations and, by definition, it is what makes ROI calculation possible. Launching a mobile ad campaign, either mobile web or mobile app based, without robust mobile analytics in place is just a waste of resources. This is what makes mobile analytics companies uniquely positioned to be essential across mobile platforms.

According to Statista Digital Market Outlook, in 2017 the total global digital advertising review was $228 billion and it’s projected to reach $332 by 2021. Planning and executing advertising campaigns based on hard data is always makes sense, but when it’s about spending several hundred billion dollars a year it is simply must-do.

Digital advertising revenue worldwide, 2015-2021, in billions

Source: Statista

So no wonder that the global mobile analytics market is projected to reach $6 billion by 2024.  And if we look at the distribution of mobile analytics companies worldwide, the majority of them is concentrated in North America, with Europe and Asia Pacific following with a significant gap and by 2024, according to Research Nester data, the market share will look like this:

Global Mobile Analytics Market Share by 2024, by region

Source: Research Nester

But what is app advertising analytics exactly? App advertising analytics extrapolates the data from advertising and marketing campaigns to help mobile marketers to better target their ads and understand the effectiveness of their spending. So for each different traffic source or type of creative, marketers can understand what’s working, and what’s not and optimize their campaigns accordingly.

In a similar vein to mobile advertising industry in general, app advertising analytics space is dominated by a few big players, like AppsFlyer, Kochava that are on the market 6-8 years. In fact these companies product lines go beyond just traffic attribution, covering in-app marketing and analytics, app store analytics, mobile fraud detection systems and more.

To get a good grasp on what App advertising analytics companies can do for your advertising needs, let’s bring up several important definitions.

App Advertising KPIs

  • CTR (click through ratio) – the ratio between the number of instances when an ad was displayed and clicked through.
  • CR (conversion ratio) – the ratio between the total number of people who interacted with an ad and took specific desired actions (install, purchase, etc.)
  • CPC  (cost-per-click) – how much a single click on an ad inside an app costs
  • eCPM (effective cost-per-mile) – en effective cost of 1,000 ads displayed in an app
  • CPI (cost-per-install) – a cost of a single app copy installed

Quite a few of the tools in our list are free to use and most of the paid platforms have a free version available as well. There are other differences between the tools too, like what variables they measure about an app or mobile ad campaign, the freedom users have over using them, and their method of implementation.

So how should we go about selecting an app analytics platform?

How to select App analytics or App advertising analytics platform

As you’ll see in the list below, there’s quite a few analytics platforms out there, so it’s important to know how to choose which one is best for you. Here is a list of things to look for or ask yourself.

Pricing plan

The pricing plan is one of the key things to look at because a lot of platforms have different “tiers”, offering an increasing number of metrics, data points or features as you pay more. If your app won’t generate huge amounts of data or only requires a few metrics, then perhaps you don’t need to go for the “full features list” tier. Some platforms are free, while others have a free bracket as long as you stick to very basic features.

Key features

Some platforms offer a specific key feature on top of the basics, such as A/B testing, push notifications or a focus on metrics for games. While some features are universally provided by most platforms, these may not be. Find out what the platform’s unique selling point is and understand whether it is important to your app.

What does your app need?

Following on from the previous point – what kind of analytics do you need? If your app is going to be used within your enterprise only by a few people, performance analytics may be more important to you than user experience. If your app is highly original and standard analytics won’t give you much of an insight, customisable metrics may be for you.

Level of support

How much documentation does the platform offer? Do they have a 24/7 hotline or account managers to help you when things go wrong? If everything else is equal, this may be the deciding factor in your decision making process.

Size of SDK/implementation difficulty

Most of the platforms here come with a very easy implementation process, sometimes as little as a single line of code. Other SDKs or implementations can be bigger and more complicated, potentially even slowing your app down or affecting its performance. Ensure that the platform is fully compatible with your app and easy to use.

With these points in mind, we hope we have made it easier for you to choose from one of our selected App Analytics and App Advertising platforms. If you find these are not enough, you can always take a look through the Business of Apps Marketplace.

Top App analytics and Advertising analytics platforms

These are some of the best mobile advertising and app analytics tools you can find: they are not ranked in any particular order, but the selection was made on a number of factors including how powerful the tool is, whether it offers a new kind of metric or an insightful visualization, as well as covering the full range of data an app developer or marketer might need. If you decide you still haven’t quite found what you’re looking for you can always check out our directory of app analytics tools.

The one’s we’ve selected are:

1. App Annie

App analytics and market data platform to help developers build a better app business, App Annie is also one of the most famous repositories of news and statistics on the mobile world, is the one that Apple Inc. itself frequently quotes during its WWDC annual events. It basically sets the standard for the app industry datasets and analytics. With App Annie dashboard you can track apps downloads, revenue, usage, user demographics and advertising campaigns, across over 50 metrics to improve your mobile strategy

  • Type: Marketing Analytics, In-app analytics, app advertising analytics
  • Pricing: Free or custom
  • Platforms supported: iOS, Android, TvOS, macOS, Windows, Amazon

appsflyer logo

2. AppsFlyer

A mobile app tracking and attribution analytics platform for app developers and marketers, Appsflyer is trusted by, among others, the Wall Street Journal, L’Oreal and Trivago. It’s a one-stop-shop for marketing analytics with an active fraud solution and has partnered with Twitter and Google too.

  • Type: App advertising analytics, Marketing analytics
  • Pricing: 30-day trip period with Basic plan, the Custom plan price is available upon request
  • Platforms: iOS, Android, Windows & Xbox, Amazon, tvOS, Unity, Cordova, Marmalade, Cocos2ds, Adobe Air, React Native

3. Apptopia

Apptopia is a mobile app market intelligence and competitor tracking service that maintains a database of app performance data from all major app stores. It also monitors mobile ad market to report on ad performance, with data segmentation by location, category and specific app store.

  • Type: Marketing analytics
  • Pricing: base plan is free, $15 a month per tracked app
  • Platforms supported: iOS, Android

4. Kumulos

Kumulos is a mobile app performance management company. Its services portfolio features Push Notifications, Reporting & Analytics, Crash Reporting & Diagnostics, MBaas. With Kumulos app developers and brands can choose from three solutions – Unified Mobile App Performance Management, Mobile Marketing Automation Platform, Mobile App Business Grow tool.

  • Type: In-app analytics, App performance analytics, Marketing analytics
  • Pricing: Startup, Enterprise, Agency plans, the actual prices are available upon request.
  • Platforms supported: iOS, Android, Windows

6. Apptica

Apptica is a app advertising analytics tool that provides a comprehensive data for in-app advertising campaigns. Apptica collects data from advertisers in 35 countries and 25 major Ad Networks to keep its advertisers up-to-date with latest and greatest on the in-app advertising market, drive better results and always stay ahead of your rivals.

  • Type: App advertising analytics, Marketing analytics
  • Pricing: n/a
  • Platforms supported: iOS, Android

7. Trafficguard

TrafficGuard is a digital ad fraud protection tool for brands, networks and agencies. The platform uses Machine Learning  algorithms to identify emerging patterns, trends and indicators of a fraudulent activity.

  • Type: App Advertising analytics,
  • Pricing: Protect plan from $460/mo, ProtectPro plan from $2,292/mo, Enterprise – custom pricing
  • Platforms supported: iOS, Android.

8. Smartlook

Smartlook is an app performance analytics company that records mobile users interaction with a mobile app to define their reaction on multiple aspects of an app. The platform provides an insight into mobile users behavior to improve their experience of using an app.

  • Type: In-app analytics
  • Pricing: 30 day trial period
  • Platforms supported: iOS, Android, React Native

9. Localytics

Localytics – is an application analytics software that allows app marketer to discover app users behavior, engage with them and optimize the app’s performance. With Localytics users can scale to track up to 100 thousand monthly active users and 12 million datapoints, Localytics keeps track of granular analytics, user flows and funnels. Localytics also offers A/B testing and your own dedicated account manager as well as marketing automation.

  • Type: In-app analytics
  • Pricing: Not available online.
  • Platforms supported: iOS, Android, Windows Mobile, HTML 5

10. MixPanel

Mixpanel is an advanced analytics platform with nearly 3000 clients including miniclip, AirBnB, WordPress and, and installed in under 10 minutes. Has loads of analytical tools (funnel analysis, cohort analysis, marketing automation to name a few) but unfortunately does not have a live demo.

  • Type: In-app analytics
  • Pricing: Free (5 million data points), Basic (10 million + data points), Enterprise (Basic plan features & 5+ years dat history, premium support and more)
  • Platforms supported: iOS, Android

11. Singular

Singular is an end-to-end marketing platform analytics platform designed to maximize ROI with what it calls “1600+ preconfigured marketing solutions”, which is to say combinations and algorithms using different data silos in order to gain valuable insights. Since 2014 it tracked $10 billion in mobile app ad spend and has 2,000+ integration partners.

  • Type: Marketing analytics, App advertising analytics
  • Pricing: N/A
  • Platforms supported: Android, iOS, Web

12. Tune

Marketing-focused analytics platform, also includes app-store analytics in its “console” and has a free trial period available. Tune also offers supply-side tools for ad networks, real-time tracking and 3rd party ad management, but it does not collect data from Facebook. Tune recently sold its mobile ad attribution service to Branch Metrics but still appear to be offering some mobile marketing analytics devices.

  • Type: Marketing analytics.
  • Pricing: 30-day free trial period, custom thereafter.
  • Platforms Supported: iOS, Android, Windows, Web

Kochava logo

13. Kochava

Guarantees 99.98% uptime to its platform and doesn’t even need an SDK to implement. Kochava has a strong focus on privacy of user data. It provides users with a combination of both analytics and attribution features as well as iBeacons support, a server-to-server API and IdentyLink technology (cross-device app user identification). In 2018 the company ad fraud prevention team managed to uncover a global ad fraud scam.

  • Type: App advertising analytics
  • Pricing: Free plan, 15-day trial period, the Enterprise plan pricing isn’t available online.
  • Platforms supported: iOS, Apple Watch OS, Android

14. AppFigures

AppFigures is a marketing analytics company that provide three tools for app marketers. Analytics – to track an app performance on an app store, its revenue, market performance, user feedback and more. Explorer – the tool for app marketers to conduct a mobile market research. Appbase – a bulk export tool to download Appfigures’ database and perform analysis with the data locally.

  • Type: Marketing analytics
  • Pricing: 14 day trial plan – free, All-Access plan is $9/mo, Enterprise plan is $300/mo.
  • Platforms supported: iOS, Android

15. Flurry Analytics

Flurry Analytics is part of the Yahoo Developer Network, it provides mobile app analytical platform for iOS, Android, tvOS and watchS app developers. Among its features are in-app users behavior tracking via events, funnels analysis, cohorts building, app users segmentation, app users interests and intent database, AI to predict an app demographics and more.

  • Type: In-app analytics
  • Pricing: free
  • Demo: n/a
  • User guide: documentation

16. Prioridata

Prioridata is an app analytics company that provides app developers with a suite of tools for the app stores analytics and intelligence. Among benchmarks the platform allows to measure are DAU, MAU, ARPDAU, retention rates, downloads, store revenue, tool chart ranks and keyword ranks.

  • Type: Marketing analytics, In-app analytics.
  • Pricing: Basic plan ($250 / month), Pro ($750 / month), Enterprise (quote is available upon request) plans
  • Platforms Supported: iOS, Android


17. Countly

Countly covers everything from push notifications to user profiles, attribution to segmentation with real-time analytics of up to 10 million unique identities. It has a particularly responsive UI, real time analytics and best of all, it’s open source.

  • Type: In-app analytics, Marketing analytics
  • Pricing: Enterprise edition, Free Community Edition plans
  • Platforms supported: iOS, Android, BlackBerry, Windows Phone, Apple Watch, Mac OS X, Unity3D and Flash

18. LeanPlum

Leanplum is a mobile engagement platform that includes app analytics, mobile marketing automation tools, solutions for mobile user retention, personalization and more. Leanplum uses multiple channels to help marketers to reach their customers – Push Notifications, Email, In-app messaging and Web Push Notifications.

  • Type: In-app analytics, App Marketing analytics
  • Pricing: Customized Enterprise Plan pricing is available upon request
  • Platforms supported:  Android, iOS

19. Adjust

Adjust is an attribution and analytics software package for mobile applications, enabling mobile app marketers to examine store statistics, advertising sources and advanced analytics to fully monetize their application. Adjust is the choice of such established brands as Yelp, Zynga, Spotify, Soundcloud, Runtastic, Hotel Tonight.

  • Type: In-app analytics
  • Pricing: Free demo

Platforms supported: Android, BlackBerry, HTML5, iOS, Windows Phone

20. GameAnalytics

As the name implies, GameAnalytics is a game-focused and free analytics tool tracking stats like game progression and level advancement, and also a customizable GUI. Supports Unity legacy as well as Corona, Xamarin, Python and Flash.

  • Type: In-app analytics.
  • Pricing: free
  • Platforms supported: Unity for iOS, Android, Flash, Windows, Web GL

22. Swrve

Swrve is designed to track user behavior and purchases, conduct A/B testing, deliver Push Notifications and in-app marketing campaigns.

  • Type: In-app analytics
  • Pricing: free trial, monthly plans pricing is undisclosed
  • Platforms supported: iOS, Android

23. Tenjin

Tenjin is a mobile attribution, aggregation and analytics company. The company’s value proposition for app marketers is providing an infrastructure to acquire mobile users that bring profit. Tenjin marketing dashboard provides several key tools to drive mobile app profitability – an aggregated data on attribution and performance for multiple ad campaigns running via different channels, Facebook Lookalike audience management in scale, keyword campaign analysis and search keyword analysis.

  • Type: Advertising analytics
  • Pricing: 3 plans – Starter (free), Developer ($3k / month), Custom ($4k / month and up)
  • Demo: n /a
  • User guide: n /a

24. Amplitude

Amplitude is a product analytics company for mobile and web. The platform’s mobile user behavioral analytics allows product owners to acquire data to predict new user retention, visualize user engagement and retention, breakdown user base on groups based on actions taken. With Amplitude Taxonomy solution the platform users can define, plan and manage product data with ease. It also features Insight tool to get real-time alerts on important issues with a product, Scale to analyze millions of daily active users behavior and Accounts solution, which is an account-level analytics for B2B companies.

25. Branch

Branch is a deep-linking, attribution and mobile marketing company. On top of the platform features to acquire, engage mobile app users and tools that help to empower them to share an app content, the company offers tools to measure click, install and re-open attribution.

  • Type: App marketing analytics, Advertising analytics
  • Pricing: 3 plans – Free, Startup (depending on a traffic volume either $59 or $200 / month), Enterprise
  • Demo: available
  • User guide: SDK Integration

26. Urban Airship

Urban Airship is global mobile app marketing automation platform that helps brand owners to grow their business. Plus to the extensive suite of app marketing tools, it provides sophisticated mobile analytics system. It features user-level customer intelligence tool to reveal mobile app users cohorts that drive revenue, tools to predict and prevent mobile app churn, as well as to track mobile users behavioral patterns.

  • Type: In-app analytics, App performance analytics
  • Pricing: 4 plans – Starter (free), Basic ($99/m), Essential ($149/m and up), Comprehensive ($349/m)
  • Demo: available
  • User guide: content library

27. Apptimize

Apptimize is a mobile A/B testing and release management company. With Apptimize platform app owners get a suite of analytical tools – WYSIWYG editor, Programmatic Tests and Analytics, which allow users to try multiple versions of a mobile app without the need to release all its versions on app stores.

  • Type: A/B testing, In-app analytics
  • Pricing: Self-Serve plan (up to 100k MAU), Custom plan (100k MAU and up)
  • Demo: available
  • User guide: docs

28. Taplytics

Taplytics is a mobile A/B testing, Push Notification and app analytics platform which also includes a free demo period. Its BigQuery gives access to raw data (experiments, events, or push notifications) to setup custom metrics and it offers Mixpanel and Google Analytics integration. Taplytics capacity to provide analytics for apps, written for TV based operating systems, sets it apart from other analytics platforms.

  • Type: In-app analytics.
  • Pricing: a free plan (to track up to 25k MAU), the Enterprise plan pricing is upon request
  • Platforms supported: iOS, Android, tvOS, Android TV, Amazon TV, Roku TV

29. Apptentive

Apptentive is as much about data as it is about building a brand and a solid user experience. The app analytics side tracks user behavior and interactions, but Apptentive is also a platform to deliver surveys, gauge sentiment and listen to feedback from your users.

  • Type: In-app analytics
  • Pricing: n/a
  • Demo: request a demo
  • Platforms supported: iOS, Android, Cordova

30. Braze

Braze is a mobile app marketing automation and analytics software package with a focus on managing your campaign and promoting your business and use of your application.

  • Type: In-app analytics
  • Pricing: Demo, then custom
  • Platforms supported: Cordova Android, Cordova iOS, Fire OS, ReactiveNative Android an FireOS, ReactNative iOS, tvOS, Unity Android, Unity iOS, Windows Universal, WordPress, Xamarin Android and Fire Os, Xamarin iOS

31. AppDynamics

Specifically focused on enterprise growth and app stats analysis, AppDynamics‘ USP are its six “intelligent engines” for tracking metrics beyond the ordinary. It tends to focus on larger apps and companies, but nonetheless it is fairly easy to deploy and is a self-configuring platform with app behavioral learning.

  • Type: In-app analytics.
  • Pricing: free trial, free Lite plan, custom quote for Pro plans
  • Platforms supported: iOS, Android

32. HeapAnalytics

Code-free app analytics platform with both real-time and historical data. Heap also has strong automation features to track and chart metrics. The non-native Android support is a bit of a drag, but the Enterprise plan does include direct data export if you want to pair the stats up with another tool.

  • Type: In-app analytics.
  • Pricing: Free or custom pricing
  • Platforms supported: iOS, web, Android

moengage logo

33. MoEngage

User analytics and engagement platform for mobile apps, MoEngage is heavily focused on geo-targeted app push notifications and in-app messages. Tracks uninstalls (for iOS), integrates with MobileAppTracking, Appsflyer, Apsalar and is the largest marketing platform in India.

  • Type: In-app analytics.
  • Pricing: free plan, regular plans pricing is undisclosed
  • Platforms supported: iOS, Android, Windows Mobile

34. SensorTower

Sensor Tower is an organic user acquisition service that helps app developers grow their audience using App Store Optimisation and app marketplace intelligence. Get insights into the competitive landscape using the free Rankings and Leaderboard tools and track your app’s performance and rankings with the ASO platform.

  • Type: Marketing analytics.
  • Pricing: for small businesses: Pro plan for $79 / month, Business plan for $400 / month, for enterprise: three plans pricing is available upon request.
  • Platforms supported: iOS

35. is app analytics company that distinguish itself from the rest by focusing on improving app developers ROI via proactive handling of collected app data and making suggestions to improve an app’s performance. With its Actionable insights it points out to specific ad campaigns performance that need developers attention and with One-click optimization empowers them to react quickly and efficiently.

  • Type: In-app analytics.
  • Pricing: Individual plan ($500 / month), Enterprise plan (pricing is available upon request)
  • Platforms supported: iOS, Android

36. AppOnBoard

AppOnboard is an app analytics company that provides Android app developers with a platform to run an app demo prior its release on the Google Play Store. It also allows developers to take advantage of the Google Play Instant experience via its Try Now feature.

  • Type: In-app analytics.
  • Pricing: n/a
  • Platforms supported: Android

37. Appsumer

Appsumer  is a reporting and analytics platform for user acquisition teams at scaling apps. It  transforms fragmented media cost and attribution data into granular, perfectly unified ROI insights aiding faster, better-informed and more confident UA decision-making.

  • Type: Marketing Analytics
  • Pricing: n/a
  • Platforms supported: Android

38. Apple Analytics

As you would expect from the Cupertino company, Apple offers a constantly-updated analytics engine with slick design and easy implementation. Predictably it only works for iOS, but on that platform it is one of the most complete and powerful tools to track all of your in-app data.

  • Type: Marketing analytics.
  • Pricing: Included in Developer membership fee (either $99 or $299 per year).
  • Platforms: iOS, TvOS.

39. Google Analytics

No list could really be complete without Google Analytics for Mobile. The Internet giant offers in-app analytics not just for its own Android platform but for iOS too, as well as a solution for other platforms.

  • Type: Marketing analytics.
  • Pricing: As with most of Google’s products there is a very strong free version plus custom tiers for enterprises.
  • Platforms: iOS, Android.

40. Amazon Mobile Analytics

Amazon Mobile Analytics is part of the Amazon Pinpoint analytical platform that covers email, SMS and mobile push marketing channels. It empowers app developers with tools to measure app usage and app revenue. With Amazon Mobile Analytics developers can increase app engagement and monetization by tracking ratio new vs. returning users, app revenue and retention, custom in-app events.

    • Type: In-app analytics
    • Pricing: free (up to 100 million events / month), $1 per million events thereafter
    • Demo: available
    • User guide: documentation

41. Mobbo

Mobbo is a marketing analytics platform that provides intelligence data for over 13.5 million mobile apps and 3.5 million companies. Provided data consists of app download estimates, keyword data intelligence, general market data and more. Also Mobbo offers Google Play charts and app inspector tool that provides comprehensive app market performance data.

  • Type: Marketing analytics
  • Pricing: SMB plan for $500 / month, Professional plan for $1,500 / month, Enterprise plan pricing is available upon request.
  • Demo: available
  • User guide: n/a

42. MightySignal

MightySignal is an advertising analytics company with sophisticated mobile data gathering capabilities. The company SDK provides real-time accurate data about mobile apps, as well as tools for lead generation, account-based marketing and more.

  • Type: Marketing analytics
  • Pricing: n/a
  • Demo: n/a
  • User guide: n/a

43. appScatter

appScatter is an app distribution, management and monitoring in one automated platform. Apple and Google only represent 49% of global downloads. Luckily, appScatter helps increase app reach to over 50 of the world’s top alternative app stores. It also allows you to monitor your app’s performance in one single dashboard.

  • Type: Marketing analytics
  • Pricing: n/a
  • Demo: request a demo
  • User guide: n/a

44. 42matters

42matters provides App Intelligence & Audience Finder tools for data-driven decisions. The platform browses, extracts and analyzes data for more than 6 million apps from Google Play and App Store through an always up-to-date database.

  • Type: Marketing analytics
  • Pricing: starting with the Basic plan for 49 euro / month up to Enterprise plan for 1,500 euro / month.
  • Demo: request a demo
  • User guide: documentation

45. Mobile Action

Mobile Action is a leading solution for app store optimization (ASO) and intelligence. Mobile Action boosts your app’s visibility through app store optimization, and analyses the marketplace, so you can make informed choices about your app strategy and investment plans.

  • Type: Marketing analytics, App advertising analytics
  • Pricing: Startup plan for $70 / month, Growth plan for $300 / month and Business plan for $600 / month, as well as Enterprise plan pricing is available upon request.
  • Demo: schedule a demo
  • User guide: documentation

Final Thoughts

Knowledge is power, and in the field of mobile apps that is extremely true. The more useful statistics you track, the more metrics you know, the more ways you have of improving your mobile app and reaching the right users and customers. We hope the guide has given you an idea of the importance of app analytics, what they are, and who you can trust to obtain some great insights.

Given the current scope of the app industry and competition level, we advice to find a solution or use several to track and analyze all kinds of analytics –  app marketing, in-app and app performance. By doing so you’ll make sure you get the full picture of how well your app performance on the app market, be aware of any issues your app users may have with it and their behavior inside the app in general.